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MicroRNAs underlie genome-wide transcriptome and translatome regulation in asthma as revealed by Frac-seq (RNA-Seq)

ABSTRACT: Transcription and translation correlate poorly, as mRNA undergoes multiple regulatory steps such as alternative splicing and microRNA regulation that determine its translationability into protein. Measures of transcriptional mRNA levels may therefore misrepresent cellular activation. To test this hypothesis employing human physiological mRNA levels, we analyzed cytoplasmic and polyribosome-bound mRNA expression (Frac-seq) combined with microRNA profiling by small RNA-seq in bronchoepithelial cells from healthy and severe asthma (SA) donors, SA being a chronic inflammatory airways disease, poorly understood at the molecular level. We found 275 genes bound to polyribosomes differentially between healthy and severe asthma, of which only 11.64% overlapped with differentially expressed cytoplasmic mRNAs (226 genes). We found 335 alternatively spliced mRNA isoforms differentially bound to polyribosomes of which only ~8% were revealed by cytoplasmic mRNA analysis. Approximately two thirds of differentially expressed isoforms could not be found at the gene level in both cytoplasmic and polyribosome bound fractions, demonstrating the disruption of splicing in asthma. Only the analysis of differentially expressed isoforms bound to polyribosomes revealed disease-related pathways overlooked in total mRNA. We detected a network of 21 microRNAs differentially expressed, with 8 microRNAs accounting for more than 80% targeting observed in both cytoplasmic and polyribosome bound mRNA isoforms. Importantly, microRNAs target distinct cytoplasmic and polyribosome bound mRNAs. Hence this work, integrating deep-sequencing, subcellular fractionation and microRNA profiling, demonstrates the disruption of post-transcriptional regulatory processes as the main disease causing molecular mechanism in asthma, something that cannot be dissected employing more classic transcriptomics approaches alone.

ORGANISM(S): Homo sapiens

PROVIDER: GSE85214 | GEO | 2018/04/11

REPOSITORIES: GEO

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Project description:Background: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published. Methods: We conducted a genome-wide analysis of microRNA and messenger RNA (mRNA) in the sputum from patients with asthma and correlated expression with clinical phenotypes. Weighted gene correlation network analysis (WGCNA) was implemented to identify microRNA networks (modules) that significantly correlate with clinical features of asthma and mRNA expression networks. MicroRNA expression in peripheral blood neutrophils and lymphocytes, and in situ hybridization of the sputum were used to identify the cellular sources of microRNAs. MicroRNA expression obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the airway. Results: Six microRNA modules were associated with clinical features of asthma. A single module (nely) was associated with a history of hospitalizations, lung function impairment, and numbers of neutrophils and lymphocytes in the sputum. Of the 12 microRNAs in the nely module, hsa-miR-223-3p was the highest expressed microRNA in neutrophils and was associated with increased neutrophil counts in the sputum in response to ozone exposure. Multiple microRNAs in the nely module correlated with two mRNA modules enriched for toll-like receptor (TLR) and Th17 signaling, and endoplasmic reticulum stress. Hsa-miR-223-3p was a key regulator of the TLR and Th17 pathways in the sputum of subjects with asthma. Conclusions: This study of sputum microRNA and mRNA expression from patients with asthma demonstrates the existence of microRNA networks and genes that are associated with features of asthma severity. Among these, hsa-miR-223-3p, a neutrophil-derived microRNA, regulates TLR/Th17 signaling and endoplasmic reticulum stress.

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MicroRNAs underlie genome-wide transcriptome and translatome regulation in asthma as revealed by Frac-seq (RNA-Seq)

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